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Hidden Semi Markov Models Theory by Shun Zheng (10 results)
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Paperback. Condition: New.
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Condition: As New. Unread book in perfect condition.
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Hidden Semi-Markov Models: Theory, Algorithms and Applications
Published by Elsevier Science Publishing Co Inc, 2015
ISBN 10: 0128027673 ISBN 13: 9780128027677
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 393.
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Hidden Semi-Markov Models: Theory, Algorithms and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Hidden Semi-markov Models : Theory, Algorithms and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Hidden Semi-markov Models : Theory, Algorithms and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Brand New. 128 pages. 9.25x6.25x0.50 inches. In Stock. This item is printed on demand.
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Hidden Semi-Markov Models: Theory, Algorithms and Applications
Published by Elsevier Science Publishing Co Inc, 2015
ISBN 10: 0128027673 ISBN 13: 9780128027677
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 393.
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Hidden Semi-Markov Models : Theory, Algorithms and Applications
Published by Elsevier Books, Elsevier, 2015
ISBN 10: 0128027673 ISBN 13: 9780128027677
Language: English
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since the first HSMM was introduced in 1980 for machine recognition of speech, three other HSMMs have been proposed, with various definitions of duration and observation distributions. Those models have different expressions, algorithms, computational complexities, and applicable areas, without explicitly interchangeable forms. Hidden Semi-Markov Models: Theory, Algorithms and Applications provides a unified and foundational approach to HSMMs, including various HSMMs (such as the explicit duration, variable transition, and residential time of HSMMs), inference and estimation algorithms, implementation methods and application instances. Learn new developments and state-of-the-art emerging topics as they relate to HSMMs, presented with examples drawn from medicine, engineering and computer science.
